Summary
Borja Pozo is an AI researcher and machine learning engineer with a PhD focused on applying ML to quantum and biophysics, and six years of experience bridging scientific research and production-grade software. Currently at an early-stage startup, he builds agentic and reinforcement-learning systems for photonic circuit design while also shaping software architecture, CI practices, and technical hiring processes. His academic work includes publishing in high-impact journals, co-authoring a Cambridge University Press book on ML for quantum sciences, and contributing open-source Python libraries and course material used in graduate teaching. He has hands-on experience optimizing quantum software at Xanadu and developing pipelines to extract mathematical expressions from technical documents—an uncommon mix of symbolic processing and ML for science. Based in Catalonia, he combines classroom excellence as an invited professor with practical startup delivery, making him effective at translating complex research into deployable engineering solutions.
6 years of coding experience
Master's degree, Intelligent Interactive Systems, Master's degree, Intelligent Interactive Systems at Universitat Pompeu Fabra
UPC Universitat Politècnica de Catalunya
English, Catalan, Spanish, Japanese